Title: Adaptive anisotropic diffusion filter for speckle noise reduction for ultrasound images

Authors: Mohammad Motiur Rahman; Mithun Kumar PK.; Abdul Aziz; Md. Gauhar Arefin; Mohammad Shorif Uddin

Addresses: Department of Computer Science and Engineering, Mawlana Bhashani Science and Technology University, Santosh, Tangail-1902, Bangladesh ' Department of Computer Science and Engineering, Mawlana Bhashani Science and Technology University, Santosh, Tangail-1902, Bangladesh ' Department of Computer Science and Engineering, Mawlana Bhashani Science and Technology University, Santosh, Tangail-1902, Bangladesh ' Department of Computer Science and Engineering, Mawlana Bhashani Science and Technology University, Santosh, Tangail-1902, Bangladesh ' Department of Computer Science and Engineering, Jahangirnagar University, Savar, Dhaka-1342, Bangladesh

Abstract: In image processing noise is possibly the most annoying problem. Ultrasound image has been used for effective diagnosis for its non-invasive, harmless, accurate and cost effectiveness. Unfortunately, ultrasound images are degraded by an intrinsic artefact called speckle. Eliminating such speckle noise is an important preprocessing task. For acquiring a better performance for denoising, an adaptive anisotropic diffusion technique for ultrasound images is presented in this paper. It is a new efficient method for denoising the image without blurring the frontiers between different regions. The proposed noise detection-oriented method is based on the differentiation of the diffusion in the direction of the gradient and the adjacent pixels of entire image. The performance of different metrics shows the proposed method exhibit better result to existing Perona-Malik anisotropic diffusion method.

Keywords: anisotropic diffusion filter; adjacent pixels; speckle noise; gradient; measurement matrices; noise reduction; ultrasound images; image processing; image denoising; noise detection.

DOI: 10.1504/IJCONVC.2013.054657

International Journal of Convergence Computing, 2013 Vol.1 No.1, pp.50 - 59

Received: 02 Apr 2012
Accepted: 03 Jun 2012
Published online: 19 Jul 2014 *

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